-
physical attributes will support and improve the mapping of seagrasses. · Develop machine learning models and object-based image processing algorithms to differentiate and identify seagrass habitat
-
for the specific requirements in the other Themes. This position is suitable for anyone with a master’s degree in Chemistry or Materials Science with a PhD or an equivalent degree in Physics, or a related discipline
-
. Application Process: To apply, please email the following documents to [email protected] (HDR Internships Team) with the subject line – Fleet Space Technologies PhD Internship: Resume Cover
-
, there is opportunity to improve this process including potentially using activity data (based on mobile devices). Areas that this project could relate to include applied economics/statistics, urban planning
-
the compliance incident reporting process, compliance training and awareness including fraud and corruption. The position also supports the execution of the Internal Audit Program through the outsourced Internal
-
2024. Application process: Please view the available courses through the application form, to determine what area of work offerings are being made available for individual courses. Ensure you meet the
-
2024. Application process: Please view the available courses through the application form to determine what area of work offerings are being made for individual courses. Ensure you meet the essential
-
an area aligned with the proposed research internship project More information about University of Adelaide's Research Internships is available here . Application Process: To apply, please email the
-
July 2024. Application process: Please view the available courses through the application form, to determine what area of work offerings are being made available for individual courses. Ensure you meet
-
passionate casual staff to assist with the delivery of our Semester 2 undergraduate and postgraduate courses, commencing Monday 22 July 2024. Application process: Please view the available courses through